Dr Mahsa Mohaghegh

A lecturer at AUT

Lecturer – Information Technology and Software Engineering Department
Founder/Director She#

Phone: +64 9 921 9999 Ext: 7836

Email: mahsa.mohaghegh@aut.ac.nz

Physical Address:

Department of Information Technology and Software Engineering
School of Engineering, Computer and Mathematical Sciences (D-75)
Auckland University of Technology
AUT Tower, 2-14 Wakefield Street
Auckland, 1010
New Zealand
Office: WT134



Links to relevant web pages:

She# - www.shesharp.co.nz


Qualifications:

  • 2004, Bachelor degree (BSc) in Computer Engineering
  • 2008, Master degree (MSc) in Computer Systems Architecture
  • 2013, Doctorate of Philosophy (PhD) in Computer Engineering, Massey University

Memberships and Affiliations:

  • She#: founder and director – www.shesharp.co.nz
  • Toastmasters International: member
  • IEEE and IEEE Computer Society, member
  • IEEE Education Society, member
  • IEEE Women in Engineering, member
  • Google Anita Borg Scholars Alumni, member
  • Westpac Women of Influence Alumni, member
  • Massey University Graduate Alumni, member
  • New Zealand Technology Industry Association (NZTech), member
  • New Zealand Computer Society (NZCS), member
  • Software New Zealand (NZSA), member
  • New Zealand Education (NZIDRS), member
  • Institution of Professional Engineers New Zealand (IPENZ), member
  • International Association of Computer Science and Information Technology (IACSIT), member

Research Areas:

Natural Language Processing, Machine Translation, Artificial Intelligence, Sensor Networks, Internet of Things

Publications:

  • Mohaghegh, M., & Sarrafzadeh, A. (2016, December). Parallel Text Identification Using Lexical and Corpus Features for the English-Maori Language Pair. In Machine Learning and Applications (ICMLA), 2016 15th IEEE International Conference on (pp. 910-915). IEEE.
  • Mohaghegh, D. M., & McCauley, M. (2016). Computational Thinking: The Skill Set of the 21st Century. (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (3) , 2016, 1524-1530
  • Sosamphan P., Liesaputra V., Yongchareon S. and Mohaghegh M. (2016). Evaluation of Statistical Text Normalisation Techniques for Twitter.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-203-5, pages 413-418. DOI: 10.5220/0006083004130418
  • Mohaddes Deylami, H., Mohaghegh, M., Sarrafzadeh, A., & McCauley, M. (2015). CAPTURE THE TALENT: SECONDARY SCHOOL EDUCATION WITH CYBER SECURITY COMPETITIONS. International Journal in Foundations of Computer Science & Technology (IJFCST), (Vol. 5).
  • Mohaghegh, M., Sarrafzadeh, H., and Mohammadi, M. (2014). “Ensemble Statistical and Heuristic Models for Unsupervised Word Alignment”, The 13th International Conference on Machine Learning and Applications (ICMLA'14) , Detroit, MI USA
  • Mohaghegh, M., McCauley, M., and Mohammadi, M. (2014). “Maori-English Machine Translation “, NZCSRSC New Zealand Computer Science Research Student Conference-Canterbury University.
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh, and Mehdi Mohammadi. "A Three-Layer Architecture for Automatic Post-Editing System Using Rule-Based Paradigm." WSSANLP-2013: 17.
  • Mahsa Mohaghegh, GRAFIX: Automated Rule-Based Post Editing System to Improve English-Persian SMT Output (Short paper-NZCSRSC New Zealand Computer Science Research Student Conference. Waikato, Apr 2013)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh, Mehdi Mohammadi; GRAFIX: Automated Rule-Based Post Editing System to Improve English-Persian SMT (Short paper- COLING 2012, the 24th International Conference on Computational Linguistics. Mumbai, India, December 2012)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh; A Hierarchical Phrase- Based Model for English-Persian Statistical Machine Translation (Full Paper - Innovations 12, 8th International Conference on Innovations in Information Technology. AL AIN ,UAE, March 2012)
  • Mahsa Mohaghegh; Advancements in English-Persian Hierarchical Statistical Machine Translation (Short paper-NZCSRSC New Zealand Computer Science Research Student Conference. Otago, Apr 2012)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh, Tom Moir; Improving Persian-English Statistical   Machine Translation: Experiments in Domain Adaptation. ( Full paper- Proceedings of the 2nd Workshop on South and Southeast Asian Natural Language Processing (WSSANLP), IJCNLP 2011, pages 9–15,Chiang Mai, Thailand, November  2011)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh; An Overview of the Challenges and  Progress in PeEn-SMT: First Large Scale Persian-English SMT System. (Full Paper - Innovations 11, 7th International Conference on Innovations in Information Technology. Abu Dhabi April 2011)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh and Michael McCauley; The Impact of Domain for Language Model in the PeEn-SMT: First Large Scale Persian-English SMT System. (Short paper-NZCSRSC New Zealand Computer Science Research Student Conference. Palmerston North, Apr 2011)
  • Mahsa Mohaghegh, Chris Manford and Abdolhossein Sarrafzadeh; Cross- layer Optimizations for Quality of Service Support in Wireless Sensor Networks. (Full Paper- In Proc. of  2011 EEE Conference , International Conference on Computer and Communication Devices (ICCCD 2011 ,Bali  Island,  April  2011)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh; Multilingual Information Service System for Tourists. (Poster – NZBio Conference, Auckland, Mar 2011)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh, Tom Moir; Improved Language   Modeling for English-Persian Statistical Machine Translation. (Full Paper -In Proc. of SSST-4 Workshop at COLING-2010, Beijing, China, August 2010)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh; Performance Evaluation of Statistical English-Persian Machine Translation. (Full Paper – JADT2010 – 10th International Conference on Statistical Analysis of Textual Data. Sapienza, University of Rome, June 2010)
  • Mahsa Mohaghegh; A Statistical Approach to English-Persian Machine Translation. (Short Paper – NZCSRSC – New Zealand Computer Science Research Student Conference. Wellington, Apr 2010)
  • Mahsa Mohaghegh, Tom Moir, Abdolhossein Sarrafzadeh; A Statistical Approach to English-Persian Machine Translation. (Poster – NZBio Conference, Auckland, Mar 2010)
  • Mahsa Mohaghegh, Abdolhossein Sarrafzadeh; Analysis of the Effect of Data Variation in a Statistical English-Persian Machine Translation. (Full Paper - Innovations ’09 – 6th International Conference on Innovations in Information Technology. Dubai, Dec 2009)
  • Mahsa Mohaghegh, Tom Moir; First English-Persian Machine Translation. (Poster – NZPGC – New Zealand Post Graduate Conference. Wellington, Nov 2009)
  • Mahsa Mohaghegh; Support of QOS Parameters in Wireless Sensor Network Based on Cross Model. (Full Paper- Accepted in International Conference on Sensor Networks, Information, and Ubiquitous Computing. Singapore, August 2009)
  • Mahsa Mohaghegh; Cross-Layer Optimization for Wireless Sensor Networks. (Full paper -Accepted in The Third International Conference on Systems and Networks Communications ICSNC 2008. Sliema, Malta 2008)

Awards:

  • New Zealander of the Year – nominee (2017 Kiwibank New Zealand Local Hero of the Year category; 2017 Santitarium New Zealand Innovator of the Year category)
  • Westpac Women of Influence finalist – 2016
  • Awarded Google funding for Computer Science for High Schools (Unitec) – 2013–2016
  • Westpac Women of Influence finalist – 2015
  • Selected as Google Asia Pacific Anita Borg Committee member
  • Unitec Chief Executive Award for Exceptional Service
  • Unitec Executive Dean’s Award
  • Westpac Women of Influence finalist and winner – Emerging Leader category – 2013
  • Google Anita Borg Scholarship finalist and winner – 2012
  • Google Anita Borg Scholarship finalist – 2011
  • New Zealand International Student of the Year finalist
  • Massey University Doctoral Scholarship recipient
  • New Zealand International Scholarship recipient (funded by NZ Government, administered by Education New Zealand)

Last updated: 07-Apr-2017 2.41pm

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.